10 citations · 10 across the 18 of their papers we have counts for
3 papers · 1 filter
Work While They Sleep: Exploiting Evaluation Latency for Fully Bayesian Optimization
Gustavo Sutter, Alejandro Comas-Leon, David Holzmüller +4
Black-box optimization problems are ubiquitous across science and engineering, often dealing with expensive objective functions. This objective latency has two consequences during…
Beyond Reference-Based Evaluation: Reward Models for Meta-Evaluation of Grammatical Error Correction
Ruotian Wu, Bill E. Johnson, Gene Saunders +3
Reference-based metrics for Grammatical Error Correction (GEC) such as M and ERRANT assume that the reference set enumerates all valid edits, and therefore often penalize corre…
Out-Of-The-Loop Multi-Fidelity Bayesian Optimization
Gustavo Sutter, Hao Wang, Luis Ricardez-Sandoval +2
Black-box optimization is a ubiquitous problem in science and engineering, often dealing with expensive objective functions with cheaper lower-fidelity proxies available. Multi-fid…